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Nitric Oxide-Mediated Regulation of Cancer Immune Escape

2010· article· en· W2014563548 on OpenAlexaff
D. Robert Siemens, Charles H. Graham

Bibliographic record

VenueForum on Immunopathological Diseases and Therapeutics · 2010
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMacrophage Migration Inhibitory Factor
Canadian institutionsQueen's University
Fundersnot available
KeywordsImmune systemCytotoxic T cellBiologyMajor histocompatibility complexImmunologyCancer cellNKG2DNitric oxideCancer researchInnate immune systemMHC class IEffectorCancerCell biologyEndocrinologyIn vitro

Abstract

fetched live from OpenAlex

There is now evidence that nitric oxide (NO) regulates hypoxia-induced malignant phenotypes such as invasiveness, metastatic ability, and drug resistance in tumor cells. Recent studies have also revealed that the ability of tumor cells to avoid destruction by innate immune effector mechanisms (immune escape) is stimulated by hypoxia through a mechanism that appears to involve inhibition of NO signaling. Specifically, it was shown that NO activity blocks the hypoxia-induced resistance of prostate cancer cells to the lytic activity of peripheral blood lymphocytes by preventing the shedding of major histocompatibility complex class I chain-related (MIC) molecules from the tumor cell membrane. MIC plays an important role in tumor immune surveillance through its interaction with the NKG2D receptor on natural killer and cytotoxic T cells. These findings suggest that the hypoxic tumor microenviron-ment contributes to impaired immune surveillance, and that activation of NO signaling is of potential use in cancer immunotherapy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.000
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.253
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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